As AI works its way into more and more business processes, it has become increasingly important for auditors to understand ...

The following is a summary of “Lasso-derived model for early prediction of systemic sclerosis based on vasculopathy ...

Since the online advertising sector is estimated to have spent $740.3 billion USD in 2023, it's easy to understand why advertising companies invest considerable resources into this particular strand ...

We analyze the full spectrum of transaction amounts using key statistical measures: mix, max, mean, median ... For example, a classifier model with an ROC AUC score takes values from 0 to 1.

It is proven to be better than the above algorithms by attaining up to 96% accuracy, 97% Mean Average Precision $(mAP)$ , and excellent Area Under the Receiver Operating Characteristic curve (AUC-ROC) ...

For the analysis of subject characteristics, the values are expressed as mean ± standard ... operating characteristic (ROC) curves were plotted to investigate diagnostic value of altered miRNAs. The ...

than those with a mean GRS, and a 7.2 times higher risk (95% CI 5.7 to 9.2) than those in the bottom quintile. Figure 2 shows the ROC curves for HLA only, HLA plus GRS_10, HLA plus GRS_26 and HLA plus ...

Continuous variables are presented as mean±SD, and categorical data are summarised ... tachyarrhythmias occurred after ICD implantation. Nonetheless, ROC curves showed comparable AUC for all scar ...

Its ability to predict outcome in the validation data set was determined using receiver operator characteristics (ROC; area under the curve (AUC)). The relationships ... and pleural effusion)20 40 may ...

For the past several decades, research in understanding the molecular basis of human muscle aging has progressed significantly. However, the development of accessible tissue-specific biomarkers of ...